Platform

Cloud Platform

We operate in the cloud, any cloud, so our vision engine can process your data locally wherever it is stored. Our cloud platform provides full access to our suite of video analytics, and you pay only for the services that you use.

On-Premises

Is a cloud platform not suitable for your needs? Do you have data privacy concerns that preclude your data leaving your premises? We can deliver an on-premises deployment of our platform that brings our analytics to your doorstep.

Analytics

Voxel51's Vision Engine provides state-of-the-art computer vision and machine learning analytics for video and image understanding. Our analtyics are developed in-house and are available on a per-use basis. Our vision experts are also available to develop custom solutions.

RoadSense

The only widely available cloud-based solution for full road scene understanding.

CitySense

Custom Solutions

Need a custom vision solution? Our vision experts can work with you to develop custom analtyics.

Are you drowning in raw video data?We can make it searchable by building a semantic index of it

About

Voxel51 is a startup founded in late 2016 focused on cutting edge problems in computer vision and machine learning. Our mission is to provide robust and customized video understanding capabilities to enable advanced video analytics that enhance societal welfare. We are a small, agile group based in Ann Arbor, Michigan that works closely together.

Leadership Team

Jason Corso

Co-Founder

Jason co-leads the strategy and technical agenda at Voxel51. He has more than 15 years experience in computer vision and video analysis, and he doubles as an associate professor of electrical engineering and computer science at the University of Michigan.

Brian Moore

Co-Founder

Brian co-leads the technical strategy and vision at Voxel51. He holds a Ph.D. in electrical engineering from the University of Michigan, where his research was focused on designing state-of-the-art algorithms for problems in computer vision and machine learning.

RoadSense contains a suite of analytics that detect and recognize semantic roadway infrastructure details in both urban and highway settings. RoadSense understands traffic entities such as road signs and signals, intersections, lanes, and painted markings. It can also detect vehicles, perform fine-grained recognition such as make, model, and color classification, and recognize vehicle density and behaviors.

RoadSense is continually evolving. We will continue to deploy new RoadSense analytics to our cloud platform, and we regularly upgrade our existing analytics with new models trained on our growing database of road scene video.

CitySense

CitySense is a suite of state-of-the-art analytics for city-level forensics.

CitySense can ingest and index large collections of surveillance video and efficiently perform large-scale targeted search queries to retrieve, for example, vehicles or persons of interest. It also understands criminal activity and can automatically detect and recognize many classes of criminal actions across video modalities such as surveillance, dashcam, and body-worn cameras.

CitySense is continually evolving. We will continue to deploy new CitySense analytics to our cloud platform, and we regularly upgrade our existing analytics with new models trained on our growing database of city-level video.

Custom Solutions

Our experienced team of computer vision engineers and scientists is available to develop and deliver custom software solutions for your video understanding needs.

Our custom solutions can be integrated into your existing workflows, or we can deliver them to you as a convenient end-to-end system through an on-premises deployment of our computer vision platform. Our vision engine is highly extensible and generalizable to new analytics, so we can fulfill your computer vision needs efficiently and elegantly.